Tools for Two-Dimensional Monte-Carlo Simulations

---

Documentation for package ‘mc2d’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

A B C D E G H I L M N O P Q R S T U X

-- A --

addvar

Utilities for multivariate nodes

-- B --

bernoulli	The Bernoulli Distribution
betagen	The Generalised Beta Distribution
BetaSubjective	The BetaSubjective Distribution

-- C --

converg	Graph of Running Statistics in the Variability or in the Uncertainty Dimension.
cornode	Builds a Rank Correlation using the Iman and Conover Method.

-- D --

dbern	The Bernoulli Distribution
dbetagen	The Generalised Beta Distribution
dbetasubj	The BetaSubjective Distribution
ddirichlet	The Dirichlet Distribution
dempiricalC	The Continuous Empirical Distribution
dempiricalD	The Discrete Empirical Distribution
dimmc	Dimension of mcnode and mc Objects
dimmcnode	Dimension of mcnode and mc Objects
dirichlet	The Dirichlet Distribution
dlnormb	The Log Normal Distribution parameterized through its mean and standard deviation.
dmqi	Minimum Quantile Information Distribution
dmultinomial	The Vectorized Multinomial Distribution
dmultinormal	The Vectorized Multivariate Random Deviates
dpert	The (Modified) PERT Distribution
dtriang	The Triangular Distribution

-- E --

ec	An example on Escherichia coli in ground beef
empiricalC	The Continuous Empirical Distribution
empiricalD	The Discrete Empirical Distribution
evalmccut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
evalmcmod	Evaluates a Monte-Carlo model
extractvar	Utilities for multivariate nodes

-- G --

gghist	Histogram of a Monte Carlo Simulation (ggplot version)
gghist.mc	Histogram of a Monte Carlo Simulation (ggplot version)
gghist.mcnode	Histogram of a Monte Carlo Simulation (ggplot version)
ggplotmc	ggplotmc
ggplotmc.mc	ggplotmc
ggplotmc.mcnode	ggplotmc
ggspaghetti	Spaghetti Plot of 'mc' or 'mcnode' Object
ggspaghetti.mc	Spaghetti Plot of 'mc' or 'mcnode' Object
ggspaghetti.mcnode	Spaghetti Plot of 'mc' or 'mcnode' Object
ggtornado	Draws a Tornado chart as provided by tornado (ggplot version).
ggtornadounc	Draws a Tornado chart as provided by tornado (ggplot version).

-- H --

hist.mc	Histogram of a Monte Carlo Simulation
hist.mcnode	Histogram of a Monte Carlo Simulation

-- I --

is.finite.mcnode	Finite, Infinite, NA and NaN Numbers in mcnode.
is.infinite.mcnode	Finite, Infinite, NA and NaN Numbers in mcnode.
is.mc	Tests mc and mcnode Objects
is.mcnode	Tests mc and mcnode Objects
is.na.mcnode	Finite, Infinite, NA and NaN Numbers in mcnode.
is.nan.mcnode	Finite, Infinite, NA and NaN Numbers in mcnode.

-- L --

lhs	Random Latin Hypercube Sampling
Lognormalb	The Log Normal Distribution parameterized through its mean and standard deviation.

-- M --

mc	Monte Carlo Object
mc.control	Sets or Gets the Default Number of Simulations.
mcapply	Apply Functions Over mc or mcnode Objects
mccut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
mcdata	Build mcnode Objects from Data or other mcnode Objects
mcdatanocontrol	Build mcnode Objects from Data or other mcnode Objects
mcmodel	Monte Carlo model
mcmodelcut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
mcnode	Build mcnode Objects from Data or other mcnode Objects
mcprobtree	Creates a Stochastic mcnode Object using a Probability Tree
mcratio	Ratio of uncertainty and the variability
mcstoc	Creates Stochastic mcnode Objects
MinimumQuantileInformation	Minimum Quantile Information Distribution
modEC1	An example on Escherichia coli in ground beef
modEC2	An example on Escherichia coli in ground beef
multinormal	The Vectorized Multivariate Random Deviates

-- N --

NA.mcnode	Finite, Infinite, NA and NaN Numbers in mcnode.
ndunc	Sets or Gets the Default Number of Simulations.
ndvar	Sets or Gets the Default Number of Simulations.

-- O --

Ops.mcnode	Operations on mcnode Objects
outm	Output of Nodes

-- P --

pbern	The Bernoulli Distribution
pbetagen	The Generalised Beta Distribution
pbetasubj	The BetaSubjective Distribution
pempiricalC	The Continuous Empirical Distribution
pempiricalD	The Discrete Empirical Distribution
pert	The (Modified) PERT Distribution
plnormb	The Log Normal Distribution parameterized through its mean and standard deviation.
plot.mc	Plots Results of a Monte Carlo Simulation
plot.mccut	Plots Results of a Monte Carlo Simulation
plot.mcnode	Plots Results of a Monte Carlo Simulation
plot.plotmc	Plots Results of a Monte Carlo Simulation
plot.tornado	Draws a Tornado chart.
plot.tornadounc	Draws a Tornado chart.
pmax	Maxima and Minima for mcnodes
pmax.default	Maxima and Minima for mcnodes
pmax.mcnode	Maxima and Minima for mcnodes
pmin	Maxima and Minima for mcnodes
pmin.default	Maxima and Minima for mcnodes
pmin.mcnode	Maxima and Minima for mcnodes
pmqi	Minimum Quantile Information Distribution
ppert	The (Modified) PERT Distribution
print.mc	Prints a mcnode or a mc Object
print.mccut	Evaluates a Two-Dimensional Monte Carlo Model in a Loop.
print.mcnode	Prints a mcnode or a mc Object
print.summary.mc	Summary of mcnode and mc Object
print.tornado	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;
print.tornadounc	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
ptriang	The Triangular Distribution

-- Q --

qbern	The Bernoulli Distribution
qbetagen	The Generalised Beta Distribution
qbetasubj	The BetaSubjective Distribution
qempiricalC	The Continuous Empirical Distribution
qempiricalD	The Discrete Empirical Distribution
qlnormb	The Log Normal Distribution parameterized through its mean and standard deviation.
qmqi	Minimum Quantile Information Distribution
qpert	The (Modified) PERT Distribution
qtriang	The Triangular Distribution
quantile.mc	Quantiles of a mc Object
quantile.mcnode	Quantiles of a mc Object

-- R --

rbern	The Bernoulli Distribution
rbetagen	The Generalised Beta Distribution
rbetasubj	The BetaSubjective Distribution
rdirichlet	The Dirichlet Distribution
rempiricalC	The Continuous Empirical Distribution
rempiricalD	The Discrete Empirical Distribution
rlnormb	The Log Normal Distribution parameterized through its mean and standard deviation.
rmqi	Minimum Quantile Information Distribution
rmultinomial	The Vectorized Multinomial Distribution
rmultinormal	The Vectorized Multivariate Random Deviates
rpert	The (Modified) PERT Distribution
rtriang	The Triangular Distribution
rtrunc	Random Truncated Distributions

-- S --

spaghetti	Spaghetti Plot of mc/mcnode Object
spaghetti.mc	Spaghetti Plot of mc/mcnode Object
spaghetti.mcnode	Spaghetti Plot of mc/mcnode Object
summary.mc	Summary of mcnode and mc Object
summary.mccut	Summary of mcnode and mc Object
summary.mcnode	Summary of mcnode and mc Object

-- T --

tornado	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Variability Dimension;
tornadounc	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.default	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.mc	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
tornadounc.mccut	Computes Correlation between Inputs and Output in a mc Object (tornado) in the Uncertainty Dimension
total	An Example of all Kind of mcnode
triangular	The Triangular Distribution
typemcnode	Provides the Type of a mcnode Object

-- U --

unmc	Unclasses the mc or the mcnode Object

-- X --

x0	An Example of all Kind of mcnode
x0M	An Example of all Kind of mcnode
xU	An Example of all Kind of mcnode
xUM	An Example of all Kind of mcnode
xV	An Example of all Kind of mcnode
xVM	An Example of all Kind of mcnode
xVU	An Example of all Kind of mcnode
xVUM	An Example of all Kind of mcnode
xVUM2	An Example of all Kind of mcnode
xVUM3	An Example of all Kind of mcnode